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针对风电入网的消纳难题,提出了抽水蓄能参与调峰的数学模型。将弃风成本作为经济指标之一,风速和负荷作为不确定变量,建立了风电-火电-抽水蓄能随机规划模型。处理机会约束条件时,提出以bootstrap抽样法估计置信区间,以提高精确度。在IEEE 30节点系统上进行仿真测试,对不同风电和抽水蓄能装机容量情况下的经济性进行分析。结果显示:风电装机容量由300 MW增加到400 MW时,弃风成本升高,系统对抽水蓄能的容量和备用容量需求也随之增加;当风电装机容量达到400 MW时,将抽水蓄能容量提高到90 MW,相比于无抽水蓄能参与调度的情况,能够节约经济成本约5%左右,且参与启停调峰的火电机组由2台减少到1台。算例表明针对不同装机容量的风电,合理地配置抽水蓄能容量,多元协调配合进行调峰,才能实现低成本消纳风电的目的。
Aiming at the problem of absorbing wind power into the network, a mathematic model of pumped storage for peak regulation is proposed. Taking the abandonment cost as one of the economic indicators and the wind speed and load as the uncertain variables, a stochastic programming model of wind power, thermal power and pumped storage was established. When dealing with chance constraints, a bootstrap sampling method is proposed to estimate confidence intervals to improve accuracy. Simulation test is carried out on IEEE 30-bus system to analyze the economy of different wind power and pumped storage capacity. The results show that when the installed capacity of wind power increases from 300 MW to 400 MW, the cost of abandoning wind increases and the demand of system for pumped storage capacity and spare capacity also increases. When the installed capacity of wind power reaches 400 MW, the pumped storage Capacity increased to 90 MW, compared to non-pumped storage scheduling involved in the case, can save about 5% of economic costs, and participate in start-stop peak-setting thermal power units from 2 to 1. The example shows that for the wind power with different installed capacity, the pumped storage capacity can be reasonably configured and the multiple coordinated coordination can be carried out to achieve the purpose of absorbing wind power at low cost.